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Wyszukujesz frazę "model rozmyty Takagi-Sugeno" wg kryterium: Wszystkie pola


Wyświetlanie 1-8 z 8
Tytuł:
Nonlinear actuator fault estimation observer: an inverse system approach via a T-S fuzzy model
Autorzy:
Xu, D.
Jiang, B.
Shi, P.
Powiązania:
https://bibliotekanauki.pl/articles/331464.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
model rozmyty Takagi-Sugeno
obserwator ślizgowy
system odwrotny
actuator fault estimation
Takagi-Sugeno fuzzy models
robust sliding mode observer
inverse system method
Opis:
Based on a Takagi-Sugeno (T-S) fuzzy model and an inverse system method, this paper deals with the problem of actuator fault estimation for a class of nonlinear dynamic systems. Two different estimation strategies are developed. Firstly, T-S fuzzy models are used to describe nonlinear dynamic systems with an actuator fault. Then, a robust sliding mode observer is designed based on a T-S fuzzy model, and an inverse system method is used to estimate the actuator fault. Next, the second fault estimation strategy is developed. Compared with some existing techniques, such as adaptive and sliding mode methods, the one presented in this paper is easier to be implemented in practice. Finally, two numerical examples are given to demonstrate the efficiency of the proposed techniques.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2012, 22, 1; 183-196
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A novel fuzzy c-regression model algorithm using a new error measure and particle swarm optimization
Autorzy:
Soltani, M.
Chaari, A.
Ben Hmida, F.
Powiązania:
https://bibliotekanauki.pl/articles/330134.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
model rozmyty Takagi-Sugeno
algorytm grupowania
metoda najmniejszych kwadratów
optymalizacja rojem cząstek
Takagi-Sugeno fuzzy models
noise clustering algorithm
fuzzy c-regression model
orthogonal least squares
particle swarm optimization (PSO)
Opis:
This paper presents a new algorithm for fuzzy c-regression model clustering. The proposed methodology is based on adding a second regularization term in the objective function of a Fuzzy C-Regression Model (FCRM) clustering algorithm in order to take into account noisy data. In addition, a new error measure is used in the objective function of the FCRM algorithm, replacing the one used in this type of algorithm. Then, particle swarm optimization is employed to finally tune parameters of the obtained fuzzy model. The orthogonal least squares method is used to identify the unknown parameters of the local linear model. Finally, validation results of two examples are given to demonstrate the effectiveness and practicality of the proposed algorithm.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2012, 22, 3; 617-628
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
T–S fuzzy BIBO stabilisation of non-linear systems under persistent perturbations using fuzzy Lyapunov functions and non-PDC control laws
Autorzy:
Salcedo, José V.
Martínez, Miguel
García-Nieto, Sergio
Hilario, Adolfo
Powiązania:
https://bibliotekanauki.pl/articles/330030.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
linear matrix inequalities
Takagi–Suegno fuzzy system
fuzzy Lyapunov function
integral delayed Lyapunov function
nonparallel distributed fuzzy controller
generalised inescapable ellipsoids
liniowe nierówności macierzowe
model rozmyty Takagi-Sugeno
funkcja Lapunowa
Opis:
This paper develops an innovative approach for designing non-parallel distributed fuzzy controllers for continuous-time non-linear systems under persistent perturbations. Non-linear systems are represented using Takagi–Sugeno fuzzy models. These non-PDC controllers guarantee bounded input bounded output stabilisation in closed-loop throughout the computation of generalised inescapable ellipsoids. These controllers are computed with linear matrix inequalities using fuzzy Lyapunov functions and integral delayed Lyapunov functions. LMI conditions developed in this paper provide non-PDC controllers with a minimum ⋆-norm (upper bound of the 1-norm) for the T–S fuzzy system under persistent perturbations. The results presented in this paper can be classified into two categories: local methods based on fuzzy Lyapunov functions with guaranteed bounds on the first derivatives of membership functions and global methods based on integral-delayed Lyapunov functions which are independent of the first derivatives of membership functions. The benefits of the proposed results are shown through some illustrative examples.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2020, 30, 3; 529-550
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Further results on robust fuzzy dynamic systems with LMI D-stability constraints
Autorzy:
Assawinchaichote, W.
Powiązania:
https://bibliotekanauki.pl/articles/331041.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
fuzzy controller
robust control
LMI approach
D-stability
Takagi-Sugeno fuzzy model
regulator rozmyty
sterowanie odporne
stabilność
model Takagi-Sugeno
Opis:
This paper examines the problem of designing a robust H∞ fuzzy controller with D-stability constraints for a class of nonlinear dynamic systems which is described by a Takagi–Sugeno (TS) fuzzy model. Fuzzy modelling is a multi-model approach in which simple sub-models are combined to determine the global behavior of the system. Based on a linear matrix inequality (LMI) approach, we develop a robust H∞ fuzzy controller that guarantees (i) the L2-gain of the mapping from the exogenous input noise to the regulated output to be less than some prescribed value, and (ii) the closed-loop poles of each local system to be within a specified stability region. Sufficient conditions for the controller are given in terms of LMIs. Finally, to show the effectiveness of the designed approach, an example is provided to illustrate the use of the proposed methodology.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2014, 24, 4; 785-794
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparision of Two Construction Algorithms for Takagi-Sugeno Fuzzy Models
Autorzy:
Nelles, O.
Fink, A.
Babuska, R.
Setnes, M.
Powiązania:
https://bibliotekanauki.pl/articles/911156.pdf
Data publikacji:
2000
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
modelowanie
identyfikacja
model rozmyty
turbosprężarka doładowująca
modeling
identification
Takagi-Sugeno fuzzy models
local linear models
turbocharger
Opis:
This paper compares two different approaches to the construction of Takagi-Sugeno fuzzy models from data. These models approximate nonlinear systems by means of interpolation between local linear models. The main issue in the construction of Takagi-Sugeno models is the decomposition of the operating space into validity regions for the local models. The way this decomposition is done influences the complexity, accuracy and transparency of the obtained model. The first of the presented methods, the local linear model tree (LOLIMOT) algorithm generates incrementally the fuzzy model by axis-orthogonal decomposition of the input space. In the other method, product-space fuzzy clustering (the Gustafson-Kessel algorithm) is used to partition the available data into fuzzy subsets. The fundamental advantages and drawbacks of both the alternative strategies are pointed out. Their properties and real-world applicability are illustrated by building a dynamic model of a truck Diesel engine turbocharger.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2000, 10, 4; 835-855
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design and Stability of Fuzzy Logic Multi-Regional Output Controllers
Autorzy:
Domański, P.
Brdyś, M. A.
Tatjewski, P.
Powiązania:
https://bibliotekanauki.pl/articles/908274.pdf
Data publikacji:
1999
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
sterowanie nieliniowe
sterowanie wewnętrzne
zbiór rozmyty
model Takagi-Sugeno
nonlinear output control
fuzzy logic
Takagi-Sugeno models
stability conditions
Opis:
Design and stability analysis of fuzzy multi-regional digital controllers is considered in the paper. The controllers are based on a notion of NARMAX systems, very similar to the Takagi-Sugeno fuzzy model. The nonlinear system is approximated by a number of linear subsystems. Linear controllers are designed for all subsystems. It can be made in a classical way due to the subsystems linearity. The controllers are blended into one controller by employing fuzzy logic, the result being the fuzzy multi-regional controller (FuMR). The stability analysis of nonlinear systems with FuMR controllers composed of dynamic output feedback local linear controllers is provided. Examples illustrate the design procedure and the meaning of the stability criterion.
Źródło:
International Journal of Applied Mathematics and Computer Science; 1999, 9, 4; 883-897
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wykorzystanie modeli Takagi-Sugeno do krótkoterminowego prognozowania zapotrzebowania na energię elektryczną odbiorców wiejskich
Using the Takagi-Sugeno models for short-term forecasting of rural consumers demand for electric energy
Autorzy:
Trojanowska, M.
Małopolski, J.
Powiązania:
https://bibliotekanauki.pl/articles/289025.pdf
Data publikacji:
2009
Wydawca:
Polskie Towarzystwo Inżynierii Rolniczej
Tematy:
energia elektryczna
prognozowanie krótkoterminowe
model rozmyty
electric energy
short-term forecasting
fuzzy model
Opis:
Opracowano modele z wnioskowaniem typu Takagi-Sugeno o gaussowskich funkcjach przynależności w przestrzeni wejściowej do krótkoterminowego prognozowania zapotrzebowania na energię elektryczną odbiorców wiejskich. Ze względu na charakter zmienności obciążeń opracowano odrębne modele dla typowych dni tygodnia. Przeprowadzona analiza wykazała przydatność modeli Takagi-Sugeno do predykcji z wyprzedzeniem godzinowym i ich konkurencyjność w stosunku do rozmytych modeli Mamdaniego.
Models with concluding, Takagi-Sugeno type, with Gaussian functions of affiliation in entry space were developed for short-term forecasting of rural consumers' demand for electric energy. Due to loads variability character separate models were developed for typical week days. Completed analysis proved usability of the Takagi-Sugeno models for prediction with hourly advance, and their competitiveness compared to Mamdani fuzzy models.
Źródło:
Inżynieria Rolnicza; 2009, R. 13, nr 1, 1; 325-330
1429-7264
Pojawia się w:
Inżynieria Rolnicza
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new fuzzy Lyapunov approach to non-quadratic stabilization of Takagi-Sugeno fuzzy models
Autorzy:
Abdelmalek, I.
Goléa, N.
Hadjili, M. L.
Powiązania:
https://bibliotekanauki.pl/articles/911242.pdf
Data publikacji:
2007
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
liniowe nierówności macierzowe
stabilizacja
funkcja Lapunowa
model Takagi-Sugeno
system rozmyty
T-S fuzzy systems
non-quadratic stability conditions
linear matrix inequalities
parallel distributed compensation
stabilization
Opis:
In this paper, new non-quadratic stability conditions are derived based on the parallel distributed compensation scheme to stabilize Takagi-Sugeno (T-S) fuzzy systems. We use a non-quadratic Lyapunov function as a fuzzy mixture of multiple quadratic Lyapunov functions. The quadratic Lyapunov functions share the same membership functions with the T-S fuzzy model. The stability conditions we propose are less conservative and stabilize also fuzzy systems which do not admit a quadratic stabilization. The proposed approach is based on two assumptions. The first one relates to a proportional relation between multiple Lyapunov functions and the second one considers an upper bound to the time derivative of the premise membership functions. To illustrate the advantages of our proposal, four examples are given.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2007, 17, 1; 39-51
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-8 z 8

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